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Breakthroughs in Software Science and Computational Intelligence

Book Description

As both intelligence and software science revolutionizes the modern world, the contributions that each make to the other combine into a new transdisciplinary field.<br><b>Breakthroughs in Software Science and Computational Intelligence</b> charts the new ground broken by researchers exploring these two disciplines. A vital resource to students and practitioners working in computer science, theoretical software engineering, cognitive science, cognitive informatics, and intelligence science, this book establishes itself in this new field, emphasizing the abundance of future applications and advancement.

Table of Contents

  1. Title Page
  2. Copyright Page
  3. Editorial Advisory Board and List of Reviewers
    1. Editorial Advisory Board
    2. International Editorial Review Board
  4. Preface
    1. SECTION 1: COMPUTATIONAL INTELLIGENCE
    2. SECTION 2: COGNITIVE COMPUTING
    3. SECTION 3: SOFTWARE SCIENCE
    4. SECTION 4: APPLICATIONS OF COMPUTATIONAL INTELLIGENCE AND COGNITIVE COMPUTING
  5. Acknowledgment
  6. Section 1: Computational Intelligence
    1. Chapter 1: Perspectives on Cognitive Computing and Applications
      1. ABSTRACT
      2. INTRODUCTION
      3. COGNITIVE COMPUTING: THEORIES AND APPLICATIONS
      4. COGNITIVE INFORMATICS AND COGNITIVE COMPUTING VERSUS COMPUTING WITH INFORMATION GRANULES: A SYNERGISTIC PLATFORM
      5. HIGH-FREQUENCY COGNITIVE PROCESSES
      6. IMPORTANCE OF RESEARCH ON KNOWLEDGE RESOURCES
      7. HUMAN FACE COGNITION: FROM 2D TO 3D
      8. GRANULAR COMPUTING AND CONCEPTUAL MODELING IN COGNITIVE COMPUTING
      9. CONCLUSION
    2. Chapter 2: Granular Computing and Human-Centricity in Computational Intelligence
      1. ABSTRACT
      2. INTRODUCTION
      3. DESIGN OF INFORMATION GRANULES
      4. THE PRINCIPLE OF JUSTIFIABLE GRANULARITY
      5. INFORMATION GRANULES AS RESULTS OF CLUSTERING
      6. DESIGN OF INFORMATION GRANULES WITH KNOWLEDGE HINTS
      7. KNOWLEDGE RECONCILIATION: SEVERAL MECHANISMS OF COLLABORATION
      8. THE DEVELOPMENT OF GRANULAR MODELS OF TYPE-2
      9. CONCLUSION
    3. Chapter 3: A General Knowledge Representation Model for the Acquisition of Skills and Concepts
      1. ABSTRACT
      2. I. INTRODUCTION
      3. II. A MODEL FOR KNOWLEDGE AND SKILLS REPRESENTATION
      4. III. COGNITIVE PROCESSES
      5. IV. INTEGRATION OF NEW CONCEPTS AND SKILLS, UPDATING THE MM
      6. V. MODEL PROPERTIES
      7. VI. IMPLEMENTATION
      8. VII. CONCEPT LEARNING PATH
      9. VIII. DISCUSSION: THE MEMORY MAP IN AN INTELLIGENT ADAPTIVE LEARNING ENVIRONMENT
      10. IX. CONCLUSION AND FUTURE WORK
    4. Chapter 4: Feature Based Rule Learner in Noisy Environment Using Neighbourhood Rough Set Model
      1. ABSTRACT
      2. INTRODUCTION
      3. NOISE-TOLERANT HYBRID ATTRIBUTE REDUCTION
      4. ROUGH SET BASED RULE LEARNER
      5. PROBLEM CASE
      6. SCALABILITY TEST
      7. CONCLUSION AND FUTURE WORKS
    5. Chapter 5: A High Level Model of a Conscious Embodied Agent
      1. ABSTRACT
      2. INTRODUCTION
      3. ADDRESSING THE PRINCIPLES FOR CONSCIOUSNESS
      4. CONCLUSION
  7. Section 2: Cognitive Computing
    1. Chapter 6: Cognitive Memory
      1. ABSTRACT
      2. INTRODUCTION
      3. THE BIOLOGICAL VIEW
    2. Chapter 7: Multi-Fractal Analysis for Feature Extraction from DNA Sequences
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND AND METHODS
      4. NUMERICAL RESULTS AND DISCUSSION
      5. CONCLUDING REMARKS
    3. Chapter 8: Agent-Based Middleware for Advanced Communication Services in a Ubiquitous Computing Environment
      1. ABSTRACT
      2. INTRODUCTION
      3. CONCEPT OF AMUSE
      4. SERVICE CONSTRUCTION SCHEME IN AMUSE
      5. SIMULATION
      6. C-QUSE: AN AMUSE APPLICATION
      7. CONCLUSION
    4. Chapter 9: Relevant and Non-Redundant Amino Acid Sequence Selection for Protein Functional Site Identification
      1. ABSTRACT
      2. INTRODUCTION
      3. BIO-BASIS FUNCTION AND STRING SELECTION METHODS
      4. ASYMMETRICITY OF BIOLOGICAL DISTANCE
      5. PROPOSED BIO-BASIS STRING SELECTION METHOD
      6. QUANTITATIVE MEASURE
      7. EXPERIMENTAL RESULTS
      8. CONCLUSION
    5. Chapter 10: Role-Based Autonomic Systems
      1. ABSTRACT
      2. INTRODUCTION
      3. 1. THE REVISED E-CARGO MODEL AND ROLE-BASED SYSTEMS
      4. 2. RELATIONS AMONG ROLES
      5. 4. SELF-AWARENESS
      6. 5. SELF-HEALING AND SELF-CONFIGURATION
      7. 6. SELF-PROTECTION
      8. 7. SELF-OPTIMIZATION
      9. 8. RELATED WORK
      10. 9. CONCLUSION
    6. Chapter 11: Combining Ontology with Intelligent Agent to Provide Negotiation Service
      1. ABSTRACT
      2. 1. SYSTEM DESCRIPTION
      3. 2. IMPLEMENTATION AND EXPERIMENTS
      4. 3. DISCUSSION AND CONCLUSION
  8. Section 3: Software Science
    1. Chapter 12: Design and Implementation of an Autonomic Code Generator Based on RTPA
      1. ABSTRACT
      2. INTRODUCTION
      3. RTPA: A DENOTATIONAL MATHEMATICS FOR SOFTWARE SYSTEM MODELING
      4. DESIGN OF THE RTPA CODE GENERATOR
      5. IMPLEMENTATION OF THE RTPA CODE GENERATOR
      6. APPLICATIONS OF THE RTPA CODE GENERATOR
      7. CONCLUSION
    2. Chapter 13: The Formal Design Model of a Real-Time Operating System (RTOS+)
      1. ABSTRACT
      2. INTRODUCTION
      3. THE CONCEPTUAL MODEL OF RTOS+
      4. THE ARCHITECTURAL MODEL OF THE RTOS+ SYSTEM
      5. CONCLUSION
    3. Chapter 14: The Formal Design Model of a Real-Time Operating System (RTOS+)
      1. ABSTRACT
      2. INTRODUCTION
      3. THE STATIC BEHAVIORAL MODELS OF THE RTOS+ SYSTEM
      4. UPMs FOR RESOURCES MANAGEMENT IN RTOS+
      5. UPMs FOR PROCESS MANAGEMENT IN RTOS+
      6. THE DYNAMIC BEHAVIORAL MODELS OF THE RTOS+ SYSTEM
      7. THE SYSTEM DISPATCHER OF RTOS+
      8. THE PROCESS SCHEDULER OF RTOS+
      9. CONCLUSION
    4. Chapter 15: The Formal Design Model of an Automatic Teller Machine (ATM)
      1. ABSTRACT
      2. INTRODUCTION
      3. THE CONCEPTUAL MODEL OF THE ATM SYSTEM
      4. THE ARCHITECTURAL MODEL OF THE ATM SYSTEM
      5. THE STATIC BEHAVIORAL MODEL OF THE ATM SYSTEM
      6. THE DYNAMIC BEHAVIORAL MODEL OF THE ATM SYSTEM
      7. CONCLUSION
    5. Chapter 16: The Formal Design Models of a Set of Abstract Data Types (ADTs)
      1. ABSTRACT
      2. INTRODUCTION
      3. THE FORMAL MODEL OF ADT1 – STACKS
      4. THE FORMAL MODEL OF ADT2 – QUEUES
      5. THE FORMAL MODEL OF ADT3 – SEQUENCES
      6. THE FORMAL MODEL OF ADT4 – RECORDS
      7. CONCLUSION
    6. Chapter 17: A Least-Laxity-First Scheduling Algorithm of Variable Time Slice for Periodic Tasks
      1. ABSTRACT
      2. INTRODUCTION
      3. RELATED WORK
      4. THE PROBLEM AND THE SCHEDULING ALGORITHM
      5. TERMS AND SYMBOLS
      6. THE ANALYSIS AND THE EXPANSION OF THE ALGORITHM
      7. CONCLUSIONS
  9. Section 4: Applications of Computational Intelligence and Cognitive Computing
    1. Chapter 18: Cognitive Location-Aware Information Retrieval by Agent-Based Semantic Matching
      1. ABSTRACT
      2. INTRODUCTION
      3. 1. RELATED WORK
      4. 2. COGNITIVE SEMANTICS TFIDF TECHNIQUE
      5. 3. SYSTEM IMPLEMENTATION
      6. 4. EXPERIMENT SETUP AND RESULTS
      7. 5. CASE STUDY
      8. 6. CONCLUSION AND FUTURE WORK
    2. Chapter 19: Perceiving the Social
      1. ABSTRACT
      2. MOTIVATION
      3. SYSTEM DESIGN
      4. DEVELOPED PROTOTYPE
      5. MULTIMODAL INTERFACE AND USER-SYSTEM INTERACTIONS
      6. HAPTIC ENVIRONMENT
      7. CASE STUDY
      8. CONCLUSION
    3. Chapter 20: Symbiotic Aspects in e-Government Application Development
      1. ABSTRACT
      2. SYMBIOTIC ASPECTS IN E-GOVERNMENT APPLICATION DEVELOPMENT
      3. IMPLEMENTED SCENARIO
      4. REQUIREMENTS FOR A SYMBIOTIC E-GOVERNMENT
      5. BUILDING THE ONTOLOGY
      6. REQUIREMENTS FOR SYMBIOTIC ELEMENTS AT DELIVERY TIME
      7. SCENARIO
      8. SEMANTIC DESCRIPTION OF SERVICES FOR CITIZENS
      9. CONCLUSION
    4. Chapter 21: CoPBoard
      1. ABSTRACT
      2. DEFINITIONS
      3. SYMBIOTIC COMPUTING
      4. COMMUNITIES OF PRACTICE
      5. MULTI-AGENT SYSTEMS
      6. COORDINATING A DISTRIBUTED COMMUNITY OF PRACTICE
      7. MULTI-AGENT SYSTEM FOR COORDINATING CoP
      8. USE CASE
      9. RELATED WORK
      10. EXPECTATIONS
      11. CoPBOARD
      12. SOCIAL FUNCTION
      13. STRUCTURE
      14. THE COMMUNITY AGENT
      15. NUMBER OF MESSAGES AND OF PARTICIPANTS
      16. LEVELS OF PARTICIPATION
      17. NUMBER OF MESSAGES PER CATEGORY
      18. DISPERSION OF MESSAGES
      19. FREQUENCY OF MACRO-CONCEPTS
      20. DISPERSION OF MACRO-CONCEPTS
      21. BEHAVIOR
      22. EXAMPLE OF THE USE OF THE DISPERSION OF MACRO-CONCEPTS
      23. RESULTS AND DISCUSSION
      24. UNEXPECTED BENEFITS
    5. Chapter 22: Remote Conversation Support for People with Aphasia
      1. ABSTRACT
      2. INTRODUCTION
      3. CONVERSATION SUPPORT FOR PEOPLE WITH APHASIA
      4. REMOTE CONVERSATION SUPPORT FOR APHACIA
      5. EXPERIMENT
      6. CONCLUSION
    6. Chapter 23: Estimating which Object Type a Sensor Node is Attached to in Ubiquitous Sensor Environment
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND AND GOAL
      4. APPROACH
      5. MODEL FOR OBJECT TYPE
      6. DIAGRAMS FOR OBJECT TYPES
      7. SENSOR DATA AND DIAGRAMS
      8. EVENT GROUPS
      9. COMMON TRANSITIONS
      10. INFERENCE METHOD
      11. EVALUATION
      12. EXPERIMENTAL ENVIRONMENT
      13. MODEL PREPARATION
      14. EXPERIMENT
      15. CONCLUSION
    7. Chapter 24: Delay-Range-Dependent Robust Stability for Uncertain Stochastic Neural Networks with Time-Varying Delays
      1. ABSTRACT
      2. INTRODUCTION
      3. CONCLUSION
    8. Chapter 25: Classifier Ensemble Based Analysis of a Genome-Wide SNP Dataset Concerning Late-Onset Alzheimer Disease
      1. ABSTRACT
      2. INTRODUCTION
      3. DATA
      4. MAIN ANALYSIS RESULTS
      5. CONCLUSION
  10. Compilation of References
  11. About the Contributors
  12. Index